Current Proceedings on Technology

Current Proceedings on Technology

A Novel Approach for Medical Images Noise Reduction Using Neural Filter

Yazarlar: Mohammed Debakla, Khalifa Djemal, Mohamed Benyettou

Cilt - , Sayı 8 , 2015 , Sayfalar -

Konular:-

Anahtar Kelimeler:Noise reduction,Medical images,Total variation,Neural network,Pixel neighborhood.

Özet: This paper is dedicated to the presentation of a new denoising method for medical images. In the proposedapproach, a neural filter is designed based on total variation regularizati on using a multilayer neural network(MLP) to reduce the noise from the degraded images. To train the network we use optimization techniques,which require the calculation of the gradient of the error to adjust the weights by the minimization of anappropriate error function. The new approach is based on taking profit from local information (neighborhood) ofthe pixel to denoise it. The proposed method can restore degraded images and preserves the discontinuities.The considered filter was used to reduce noise from X-ray and MRI medical images giving good results whencompared to other approaches.

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@article{2015, title={A Novel Approach for Medical Images Noise Reduction Using Neural Filter}, number={0}, publisher={Current Proceedings on Technology }, author={Mohammed Debakla, Khalifa Djemal, Mohamed Benyettou}, year={2015} }
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Mohammed Debakla, Khalifa Djemal, Mohamed Benyettou. (2015). A Novel Approach for Medical Images Noise Reduction Using Neural Filter. Current Proceedings on Technology .
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Mohammed Debakla, Khalifa Djemal, Mohamed Benyettou. A Novel Approach for Medical Images Noise Reduction Using Neural Filter. no. 0, Current Proceedings on Technology , 2015.
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